Plugins

Cumulative token usage tracking for DeepSeek Harness, with per-model and per-day breakdowns, a settings-page dashboard and an online-changeable data directory.

Wire-level LLM inspector: captures the raw HTTP request and response bodies of model provider calls and attributes each capture to the session that caused it through the llm/stream waterfall. The request pane renders the body as a collapsible tree with per-node sizes — one measured request was 98.6% a single 973-entry array — and the response pane reassembles the OpenAI-style SSE chunk stream into reasoning, content, tool calls and usage. Shown in a Conversation View tab and a loopback viewer page.

Sign in with a ChatGPT account and view Codex subscription usage directly in DSH Web's model settings, with browser or device-code OAuth.

Shows the account balance or coding-plan quota (5h/7d/30d) of the provider behind the current model, in one line under the composer; display only, no cost accounting.

Adds a sidebar panel to the DeepSeek Harness web UI that reports token usage and cost straight from DeepSeek's own usage API (today's spend, 7/30-day trends, today's hourly split, a history table, cost breakdown, peak/off-peak tier pricing), plus per-session detail from local logs. Zero-config: it reads the browser sign-in for the official figures, and falls back to local session logs with the source labelled.

DeepSeek balance and per-session token usage in the session header, with a three-level balance alert and editable thresholds, one-click top-up links, a segmented token bar with cache-hit statistics, and a visibility-aware poller.

Use your DSH models in [Libre WebUI](https://github.com/libre-webui/libre-webui) for chat, sandboxed Work and usage tracking, with provider credentials kept in DSH. Requires Libre WebUI 0.37.0 or later.

Sidebar card that prices this session's tokens in RMB at official peak/off-peak rates and splits context share by source, with per-turn pricing and a Markdown/CSV history report.

Manual model probe for DeepSeek Harness: a session-view tab where you pick provider, API type, model and route, then send one real raw HTTP request over openai-completions, openai-responses or anthropic-messages — streaming or not — and read latency, TTFT, HTTP status, token usage and a three-layer diagnosis chain (API request / model response / strict check) on one screen, with errors in plain language.

Session management for DSH: archive, restore and delete persisted sessions, cap how many sessions each workspace keeps, and review disk usage in a size governance panel.

Shows the DeepSeek account balance as a row in the sidebar footer with a refresh button, and opens a popover with the balance card, daily token and estimated-cost charts over a 7/30-day window, a per-model table, and a link to the platform usage page. The balance comes from the official /user/balance endpoint; usage is aggregated from local DSH session logs and priced with the published peak/off-peak rate card in CNY, so it is labelled an estimate and its scope is stated on the panel.

A full-page console panel opened from the sidebar, with eight tabs: an overview; a session list read from the sessions service (title, directory, running state, updated time, with filters); installed bundles and Loader entries from pluginInventory and pluginManager, with per-bundle enable switches; a plugin market listing public topic:dsh-plugin repositories from the GitHub search API; a model and provider editor that writes the llm-pi-ai settings namespace through remote.settings.mutate (switch a session model, add or edit providers and their model lists, and store API keys via remote.credentials, merging over the stored profile so fields the form does not expose survive an edit); MCP and skills tabs; and a usage tab that reads the host's loopback /api/dsh-usage/overview document. Services are declared through ctx.inject, so a deployment that omits one mounts without the console rather than crashing.

Expose every model already configured in your local DeepSeek Harness to the LAN over OpenAI- and Anthropic-compatible endpoints, with API keys, per-key rate limits, a circuit breaker, model filters and usage reports.

Mirrors cc-switch providers and models into DeepSeek Harness the moment they are saved, and shows each provider's plan windows, account balance, or custom usage script in the composer and the settings card.

Multi-provider quota panel for DeepSeek Harness: DeepSeek official balance, jojo code, SCNet and Ark Coding Plan usage windows in the sidebar footer, with 90 days of local history and trend charts.

Adds usage statistics, a highlighted footer, piano navigation, projectless sessions, and model and document helpers to DeepSeek Harness.

Per-turn token usage, request composition and cost breakdown panel for the DeepSeek Harness Web GUI.

DSH (DeepSeek Harness) Web GUI plugin: global model token usage stats as a dedicated "Token 用量" page in Settings — incremental session-file scanning with a persistent fold cache, date-range picker with presets, model/provider filters, per-day and per-mode

DSH 用量统计插件：SQLite 本地账本，按天 / 按模型统计输入、输出、缓存命中、总计；区分对话调用与内部调用，只统计用量不做费用计算。

DSH Web GUI plugin: session usage stats

ChatGPT-powered coding, image generation and web search for DeepSeek Harness, with account and usage settings.

DSH plugin: 在左侧栏实时查看 DeepSeek 余额与 Kimi Code 用量（5 小时窗口 + 每周配额）。In-sidebar live usage monitor for DeepSeek balance and Kimi Code quota (5-hour window + weekly).

Dynamic capability gating for DeepSeek Harness that reduces token usage by exposing large MCP/plugin toolsets only when an agent needs them.

Context occupancy and account balance for the DeepSeek Harness Web Client: a session-header readout, a balance capability seam, and a DeepSeek provider